Applied Fourier Transform

Applied Fourier Transform is a mathematical tool used to analyze signals by breaking them down into their basic components—sine and cosine waves of different frequencies. Think of it as turning a complex sound or image into its fundamental building blocks. This process helps us understand the underlying patterns, filter out noise, or compress data more efficiently. It’s widely used in areas like audio processing, image analysis, communications, and scientific measurements to interpret and manipulate signals in a more manageable form. Essentially, it transforms complex information into simpler, frequency-based representations for easier analysis.